CN110326051A - 用于识别生物样本中的表达区别要素的方法 - Google Patents
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Abstract
Description
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US15/659,359 US20180251849A1 (en) | 2017-03-03 | 2017-07-25 | Method for identifying expression distinguishers in biological samples |
US15/659359 | 2017-07-25 | ||
PCT/EP2018/055146 WO2018158412A1 (en) | 2017-03-03 | 2018-03-02 | Method for identifying expression distinguishers in biological samples |
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CN110326051A true CN110326051A (zh) | 2019-10-11 |
CN110326051B CN110326051B (zh) | 2023-11-14 |
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CN201880015369.6A Active CN110326051B (zh) | 2017-03-03 | 2018-03-02 | 用于识别生物样本中的表达区别要素的方法和分析系统 |
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US (1) | US20180251849A1 (zh) |
EP (1) | EP3590059B1 (zh) |
CN (1) | CN110326051B (zh) |
WO (1) | WO2018158412A1 (zh) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
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US11348240B2 (en) | 2018-05-14 | 2022-05-31 | Tempus Labs, Inc. | Predicting total nucleic acid yield and dissection boundaries for histology slides |
US11348661B2 (en) | 2018-05-14 | 2022-05-31 | Tempus Labs, Inc. | Predicting total nucleic acid yield and dissection boundaries for histology slides |
US11348239B2 (en) | 2018-05-14 | 2022-05-31 | Tempus Labs, Inc. | Predicting total nucleic acid yield and dissection boundaries for histology slides |
US11741365B2 (en) | 2018-05-14 | 2023-08-29 | Tempus Labs, Inc. | Generalizable and interpretable deep learning framework for predicting MSI from histopathology slide images |
US10957041B2 (en) | 2018-05-14 | 2021-03-23 | Tempus Labs, Inc. | Determining biomarkers from histopathology slide images |
CA3125386A1 (en) * | 2018-12-31 | 2020-07-09 | Tempus Labs, Inc. | Transcriptome deconvolution of metastatic tissue samples |
JP2022548960A (ja) * | 2019-09-25 | 2022-11-22 | リジェネロン・ファーマシューティカルズ・インコーポレイテッド | 単一細胞rna-seqデータ処理 |
KR102512932B1 (ko) * | 2020-01-31 | 2023-03-22 | 한국과학기술원 | 암 환자의 발현량 데이터로부터 암세포 내재적 특성을 추출하는 방법 및 이를 위한 장치 |
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